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    • 1. 发明授权
    • Language model creation device
    • 语言模型创建设备
    • US09043209B2
    • 2015-05-26
    • US13129721
    • 2009-09-03
    • Hitoshi YamamotoKen HanazawaKiyokazu Miki
    • Hitoshi YamamotoKen HanazawaKiyokazu Miki
    • G10L15/14G10L15/00G10L15/18G10L15/197G10L15/183G10L15/19
    • G10L15/197G10L15/1815G10L15/183G10L15/19
    • This device 301 stores a first content-specific language model representing a probability that a specific word appears in a word sequence representing a first content, and a second content-specific language model representing a probability that the specific word appears in a word sequence representing a second content. Based on a first probability parameter representing a probability that a content represented by a target word sequence included in a speech recognition hypothesis generated by a speech recognition process of recognizing a word sequence corresponding to a speech, a second probability parameter representing a probability that the content represented by the target word sequence is a second content, the first content-specific language model and the second content-specific language model, the device creates a language model representing a probability that the specific word appears in a word sequence corresponding to a part corresponding to the target word sequence of the speech.
    • 该设备301存储表示特定词出现在表示第一内容的单词序列中的概率的第一内容特定语言模型和表示特定单词出现在表示一个单词序列的单词序列中的概率的第二特定于内容的语言模型 第二个内容。 基于表示由语音识别处理生成的语音识别假设所包含的目标字序列表示的内容的概率的第一概率参数,所述概率参数表示识别对应于语音的字序列的语音识别处理,所述第二概率参数表示所述内容 由目标词序列表示的是第二内容,第一内容特定语言模型和第二内容特定语言模型,该设备创建表示特定词出现在对应于对应部分的单词序列中的概率的语言模型 到目标词序列的演讲。
    • 2. 发明申请
    • LANGUAGE MODEL CREATION DEVICE
    • 语言创作设备
    • US20110231183A1
    • 2011-09-22
    • US13129721
    • 2009-09-03
    • Hitoshi YamamotoKen HanazawaKiyokazu Miki
    • Hitoshi YamamotoKen HanazawaKiyokazu Miki
    • G06F17/27
    • G10L15/197G10L15/1815G10L15/183G10L15/19
    • This device 301 stores a first content-specific language model representing a probability that a specific word appears in a word sequence representing a first content, and a second content-specific language model representing a probability that the specific word appears in a word sequence representing a second content. Based on a first probability parameter representing a probability that a content represented by a target word sequence included in a speech recognition hypothesis generated by a speech recognition process of recognizing a word sequence corresponding to a speech, a second probability parameter representing a probability that the content represented by the target word sequence is a second content, the first content-specific language model and the second content-specific language model, the device creates a language model representing a probability that the specific word appears in a word sequence corresponding to a part corresponding to the target word sequence of the speech.
    • 该设备301存储表示特定词出现在表示第一内容的单词序列中的概率的第一内容特定语言模型和表示特定单词出现在表示一个单词序列的单词序列中的概率的第二特定于内容的语言模型 第二个内容。 基于表示由语音识别处理生成的语音识别假设所包含的目标字序列表示的内容的概率的第一概率参数,该概率参数表示识别对应于语音的字序列的语音识别处理,第二概率参数表示内容 由目标词序列表示的是第二内容,第一内容特定语言模型和第二内容特定语言模型,该设备创建表示特定词出现在对应于对应部分的单词序列中的概率的语言模型 到目标词序列的演讲。